Evidence map›Paper›PMID 34559669›Full record

Observational studyJournal of medical Internet research2021

Utility of a Telephone Triage Hotline in Response to the COVID-19 Pandemic: Longitudinal Observational Study.

Benjamin A Y Cher, Eric A Wilson, Alexa M Pinsky, Ryan F Townshend, Ann V Wolski, Michael Broderick, Allison M Milen, Audrey Lau, Amrit Singh, Sandro K Cinti and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Benjamin A Y Cher *Michigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-2035-5496
Eric A Wilson *Michigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-0089-2382
Alexa M PinskyMichigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-8430-0171
Ryan F TownshendMichigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-2040-936X
Ann V WolskiMichigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-6815-5952
Michael BroderickMichigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-2112-4286
Allison M MilenMichigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-5373-3177
Audrey LauMichigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-6614-0469
Amrit SinghMichigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-4959-7018
Sandro K CintiMichigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-8473-6274
Carl G Engelke *Michigan Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-4510-7528
Anjan K Saha *Department of Anesthesiology, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0001-6721-1599

Funding

Novel Cilia Trafficking MechanismsR01DK084725 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARGOLIS, BENJAMIN L · 2009 to 2010
$702k
The Role of Centromeres in the Molecular Biology of Prostate CancerF30CA210379 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SAHA, ANJAN KUMAR · 2016 to 2018
$119k
NCI NIH HHS F30 CA210379NIDDK NIH HHS R01 DK084725
6 · The paper itself

Abstract

backgroundDuring the initial months of the COVID-19 pandemic, rapidly rising disease prevalence in the United States created a demand for patient-facing information exchanges that addressed questions and concerns about the disease. One approach to managing increased patient volumes during a pandemic involves the implementation of telephone-based triage systems. During a pandemic, telephone triage hotlines can be employed in innovative ways to conserve medical resources and offer useful population-level data about disease symptomatology and risk factor profiles.

objectiveThe aim of this study is to describe and evaluate the COVID-19 telephone triage hotline used by a large academic medical center in the midwestern United States.

methodsMichigan Medicine established a telephone hotline to triage inbound patient calls related to COVID-19. For calls received between March 24, 2020, and May 5, 2020, we described total call volume, data reported by callers including COVID-19 risk factors and symptomatology, and distribution of callers to triage algorithm endpoints. We also described symptomatology reported by callers who were directed to the institutional patient portal (online medical visit questionnaire).

resultsA total of 3929 calls (average 91 calls per day) were received by the call center during the study period. The maximum total number of daily calls peaked at 211 on March 24, 2020. Call volumes were the highest from 6 AM to 11 AM and during evening hours. Callers were most often directed to the online patient portal (1654/3929, 42%), nursing hotlines (1338/3929, 34%), or employee health services (709/3929, 18%). Cough (126/370 of callers, 34%), shortness of breath (101/370, 27%), upper respiratory infection (28/111, 25%), and fever (89/370, 24%) were the most commonly reported symptoms. Immunocompromised state (23/370, 6%) and age >65 years (18/370, 5%) were the most commonly reported risk factors.

conclusionsThe triage algorithm successfully diverted low-risk patients to suitable algorithm endpoints, while directing high-risk patients onward for immediate assessment. Data collected from hotline calls also enhanced knowledge of symptoms and risk factors that typified community members, demonstrating that pandemic hotlines can aid in the clinical characterization of novel diseases.

Indexed as

COVID-19HotlinesAgedHumansLongitudinal StudiesPandemicsTelephoneTriageUnited StatesconcernCOVID-19hospitalimplementationinnovationpatient informationtelehealthtelemedicinetelephonetriageutility

Identifiers

PMID34559669
PMCPMC8562418

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.